Overview

Brought to you by YData

Dataset statistics

Number of variables30
Number of observations1024
Missing cells7
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory205.1 KiB
Average record size in memory205.1 B

Variable types

Numeric6
Text12
Boolean5
Categorical6
DateTime1

Alerts

DTDCompanyID is highly overall correlated with last_updated_by_id and 5 other fieldsHigh correlation
company_id is highly overall correlated with lockedHigh correlation
data_source_type_id is highly overall correlated with deletedHigh correlation
deleted is highly overall correlated with data_source_type_idHigh correlation
has_matching_program is highly overall correlated with matching_ratio and 1 other fieldsHigh correlation
has_volunteer_grant_program is highly overall correlated with max_volunteer_limit_period_type and 1 other fieldsHigh correlation
last_updated_by_id is highly overall correlated with DTDCompanyIDHigh correlation
locked is highly overall correlated with company_idHigh correlation
matching_ratio is highly overall correlated with has_matching_program and 1 other fieldsHigh correlation
max_match_limit_period_type is highly overall correlated with DTDCompanyID and 2 other fieldsHigh correlation
max_match_onetime_limit is highly overall correlated with max_match_period_limit and 1 other fieldsHigh correlation
max_match_period_limit is highly overall correlated with DTDCompanyID and 2 other fieldsHigh correlation
max_volunteer_hour_limit is highly overall correlated with DTDCompanyIDHigh correlation
max_volunteer_limit_period_type is highly overall correlated with DTDCompanyID and 2 other fieldsHigh correlation
min_match_limit is highly overall correlated with max_match_onetime_limit and 1 other fieldsHigh correlation
min_volunteer_hour_limit is highly overall correlated with DTDCompanyID and 2 other fieldsHigh correlation
matching_ratio is highly imbalanced (62.0%) Imbalance
max_match_limit_period_type is highly imbalanced (51.2%) Imbalance
data_source_type_id is highly imbalanced (95.9%) Imbalance
min_volunteer_hour_limit is highly imbalanced (64.2%) Imbalance
DTDCompanyID is highly imbalanced (98.9%) Imbalance
deleted is highly imbalanced (83.4%) Imbalance
locked is highly imbalanced (78.0%) Imbalance
min_match_limit is highly skewed (γ1 = 29.76578162) Skewed
max_volunteer_hour_limit is highly skewed (γ1 = 31.54102119) Skewed
last_updated_by_id is highly skewed (γ1 = -21.11405116) Skewed
company_id has unique values Unique
last_updated_date has unique values Unique
min_match_limit has 473 (46.2%) zeros Zeros
max_match_onetime_limit has 438 (42.8%) zeros Zeros
max_match_period_limit has 393 (38.4%) zeros Zeros
max_volunteer_hour_limit has 869 (84.9%) zeros Zeros

Reproduction

Analysis started2024-11-21 14:44:36.501895
Analysis finished2024-11-21 14:44:41.296895
Duration4.79 seconds
Software versionydata-profiling vv4.12.0
Download configurationconfig.json

Variables

company_id
Real number (ℝ)

High correlation  Unique 

Distinct1024
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5976.4365
Minimum2
Maximum7810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:41.360631image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3034.15
Q16176.75
median6432.5
Q36688.25
95-th percentile6892.85
Maximum7810
Range7808
Interquartile range (IQR)511.5

Descriptive statistics

Standard deviation1344.3078
Coefficient of variation (CV)0.22493468
Kurtosis4.4045212
Mean5976.4365
Median Absolute Deviation (MAD)256
Skewness-2.2461575
Sum6119871
Variance1807163.6
MonotonicityStrictly increasing
2024-11-21T19:44:41.461140image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6905 1
 
0.1%
6906 1
 
0.1%
6907 1
 
0.1%
6908 1
 
0.1%
6909 1
 
0.1%
6910 1
 
0.1%
6911 1
 
0.1%
6912 1
 
0.1%
6897 1
 
0.1%
6898 1
 
0.1%
Other values (1014) 1014
99.0%
ValueCountFrequency (%)
2 1
0.1%
35 1
0.1%
37 1
0.1%
38 1
0.1%
39 1
0.1%
40 1
0.1%
41 1
0.1%
42 1
0.1%
2006 1
0.1%
2025 1
0.1%
ValueCountFrequency (%)
7810 1
0.1%
7809 1
0.1%
7808 1
0.1%
7807 1
0.1%
7806 1
0.1%
6939 1
0.1%
6938 1
0.1%
6937 1
0.1%
6936 1
0.1%
6935 1
0.1%
Distinct1011
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:41.624018image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length13.887695
Min length2

Characters and Unicode

Total characters14221
Distinct characters69
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)97.5%

Sample

1st rowMicrosoft
2nd rowWalmart
3rd rowApple Inc.
4th rowApple Hospitality REIT, Inc.
5th rowEmerson Electric
ValueCountFrequency (%)
group 60
 
3.1%
holdings 53
 
2.7%
financial 36
 
1.8%
energy 34
 
1.7%
25
 
1.3%
international 20
 
1.0%
technologies 17
 
0.9%
resources 17
 
0.9%
industries 16
 
0.8%
health 15
 
0.8%
Other values (1271) 1661
85.0%
2024-11-21T19:44:41.891711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1215
 
8.5%
n 1008
 
7.1%
r 1003
 
7.1%
a 964
 
6.8%
o 953
 
6.7%
948
 
6.7%
i 888
 
6.2%
t 740
 
5.2%
s 714
 
5.0%
l 684
 
4.8%
Other values (59) 5104
35.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10834
76.2%
Uppercase Letter 2310
 
16.2%
Space Separator 948
 
6.7%
Other Punctuation 87
 
0.6%
Dash Punctuation 30
 
0.2%
Decimal Number 8
 
0.1%
Other Symbol 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 192
 
8.3%
S 187
 
8.1%
A 173
 
7.5%
H 157
 
6.8%
M 150
 
6.5%
G 147
 
6.4%
E 135
 
5.8%
P 127
 
5.5%
I 113
 
4.9%
B 111
 
4.8%
Other values (17) 818
35.4%
Lowercase Letter
ValueCountFrequency (%)
e 1215
11.2%
n 1008
9.3%
r 1003
9.3%
a 964
8.9%
o 953
8.8%
i 888
 
8.2%
t 740
 
6.8%
s 714
 
6.6%
l 684
 
6.3%
c 430
 
4.0%
Other values (15) 2235
20.6%
Decimal Number
ValueCountFrequency (%)
6 2
25.0%
3 2
25.0%
1 1
12.5%
2 1
12.5%
5 1
12.5%
4 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 35
40.2%
& 30
34.5%
' 18
20.7%
/ 3
 
3.4%
, 1
 
1.1%
Space Separator
ValueCountFrequency (%)
948
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Other Symbol
ValueCountFrequency (%)
© 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13144
92.4%
Common 1077
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1215
 
9.2%
n 1008
 
7.7%
r 1003
 
7.6%
a 964
 
7.3%
o 953
 
7.3%
i 888
 
6.8%
t 740
 
5.6%
s 714
 
5.4%
l 684
 
5.2%
c 430
 
3.3%
Other values (42) 4545
34.6%
Common
ValueCountFrequency (%)
948
88.0%
. 35
 
3.2%
- 30
 
2.8%
& 30
 
2.8%
' 18
 
1.7%
/ 3
 
0.3%
6 2
 
0.2%
3 2
 
0.2%
1 1
 
0.1%
© 1
 
0.1%
Other values (7) 7
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14219
> 99.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1215
 
8.5%
n 1008
 
7.1%
r 1003
 
7.1%
a 964
 
6.8%
o 953
 
6.7%
948
 
6.7%
i 888
 
6.2%
t 740
 
5.2%
s 714
 
5.0%
l 684
 
4.8%
Other values (57) 5102
35.9%
None
ValueCountFrequency (%)
à 1
50.0%
© 1
50.0%
Distinct1011
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:42.074588image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length64
Median length44
Mean length21.413086
Min length3

Characters and Unicode

Total characters21927
Distinct characters76
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique999 ?
Unique (%)97.6%

Sample

1st rowMicrosoft Corporation, Inc.
2nd rowWalmart Stores & Sam’s Club
3rd rowApple Computer, Inc.
4th rowApple Gives Matching Gift Program
5th rowEmerson Electric Company, Inc.
ValueCountFrequency (%)
inc 541
 
17.8%
corporation 167
 
5.5%
company 64
 
2.1%
group 58
 
1.9%
holdings 50
 
1.6%
co 39
 
1.3%
energy 39
 
1.3%
38
 
1.3%
financial 34
 
1.1%
international 22
 
0.7%
Other values (1356) 1986
65.4%
2024-11-21T19:44:42.376673image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2101
 
9.6%
n 1871
 
8.5%
o 1665
 
7.6%
r 1453
 
6.6%
e 1377
 
6.3%
a 1305
 
6.0%
i 1157
 
5.3%
c 1035
 
4.7%
t 992
 
4.5%
s 790
 
3.6%
Other values (66) 8181
37.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15235
69.5%
Uppercase Letter 3621
 
16.5%
Space Separator 2101
 
9.6%
Other Punctuation 830
 
3.8%
Close Punctuation 45
 
0.2%
Open Punctuation 44
 
0.2%
Dash Punctuation 35
 
0.2%
Decimal Number 10
 
< 0.1%
Final Punctuation 2
 
< 0.1%
Other Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 1871
12.3%
o 1665
10.9%
r 1453
9.5%
e 1377
9.0%
a 1305
8.6%
i 1157
7.6%
c 1035
 
6.8%
t 992
 
6.5%
s 790
 
5.2%
l 735
 
4.8%
Other values (17) 2855
18.7%
Uppercase Letter
ValueCountFrequency (%)
I 697
19.2%
C 531
14.7%
S 213
 
5.9%
A 204
 
5.6%
M 174
 
4.8%
E 159
 
4.4%
H 158
 
4.4%
P 156
 
4.3%
G 155
 
4.3%
T 146
 
4.0%
Other values (16) 1028
28.4%
Other Punctuation
ValueCountFrequency (%)
. 441
53.1%
, 321
38.7%
& 41
 
4.9%
' 18
 
2.2%
/ 5
 
0.6%
: 2
 
0.2%
· 1
 
0.1%
! 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
3 3
30.0%
6 2
20.0%
5 2
20.0%
1 1
 
10.0%
2 1
 
10.0%
4 1
 
10.0%
Other Symbol
ValueCountFrequency (%)
1
50.0%
® 1
50.0%
Space Separator
ValueCountFrequency (%)
2101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18856
86.0%
Common 3071
 
14.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 1871
 
9.9%
o 1665
 
8.8%
r 1453
 
7.7%
e 1377
 
7.3%
a 1305
 
6.9%
i 1157
 
6.1%
c 1035
 
5.5%
t 992
 
5.3%
s 790
 
4.2%
l 735
 
3.9%
Other values (43) 6476
34.3%
Common
ValueCountFrequency (%)
2101
68.4%
. 441
 
14.4%
, 321
 
10.5%
) 45
 
1.5%
( 44
 
1.4%
& 41
 
1.3%
- 35
 
1.1%
' 18
 
0.6%
/ 5
 
0.2%
3 3
 
0.1%
Other values (13) 17
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21920
> 99.9%
None 4
 
< 0.1%
Punctuation 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2101
 
9.6%
n 1871
 
8.5%
o 1665
 
7.6%
r 1453
 
6.6%
e 1377
 
6.3%
a 1305
 
6.0%
i 1157
 
5.3%
c 1035
 
4.7%
t 992
 
4.5%
s 790
 
3.6%
Other values (60) 8174
37.3%
Punctuation
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
ē 1
25.0%
é 1
25.0%
® 1
25.0%
· 1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct1009
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:42.532372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length256
Median length168
Mean length35.895508
Min length0

Characters and Unicode

Total characters36757
Distinct characters80
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique995 ?
Unique (%)97.2%

Sample

1st rowhttps://www.microsoft.com/en-us/corporate-responsibility
2nd rowhttps://walmart.org/how-we-give/program-guidelines/spark-good-associate-program-guidelines
3rd rowhttps://apple.benevity.org/user/login
4th row
5th rowhttps://www.emerson.com/en-us
ValueCountFrequency (%)
https://www.gapinc.com/en-us 3
 
0.3%
https://corporate.exxonmobil.com 2
 
0.2%
https://www.northwesternmutual.com 2
 
0.2%
https://www.paramount.com 2
 
0.2%
https://www.dollartree.com 2
 
0.2%
https://www.starbucks.com 2
 
0.2%
https://www.expandenergy.com 2
 
0.2%
https://www.fcx.com 2
 
0.2%
https://www.eogresources.com 2
 
0.2%
https://spectrumbrands.com 2
 
0.2%
Other values (998) 1002
97.9%
2024-11-21T19:44:42.821514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 3415
 
9.3%
t 3185
 
8.7%
w 2790
 
7.6%
o 2355
 
6.4%
s 2129
 
5.8%
. 2079
 
5.7%
c 1773
 
4.8%
e 1709
 
4.6%
m 1613
 
4.4%
p 1559
 
4.2%
Other values (70) 14150
38.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27381
74.5%
Other Punctuation 6959
 
18.9%
Uppercase Letter 962
 
2.6%
Decimal Number 858
 
2.3%
Dash Punctuation 368
 
1.0%
Math Symbol 136
 
0.4%
Connector Punctuation 86
 
0.2%
Open Punctuation 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 3185
11.6%
w 2790
 
10.2%
o 2355
 
8.6%
s 2129
 
7.8%
c 1773
 
6.5%
e 1709
 
6.2%
m 1613
 
5.9%
p 1559
 
5.7%
h 1448
 
5.3%
a 1366
 
5.0%
Other values (16) 7454
27.2%
Uppercase Letter
ValueCountFrequency (%)
A 110
 
11.4%
C 74
 
7.7%
E 73
 
7.6%
I 66
 
6.9%
Q 50
 
5.2%
S 48
 
5.0%
B 45
 
4.7%
D 43
 
4.5%
M 41
 
4.3%
O 36
 
3.7%
Other values (16) 376
39.1%
Other Punctuation
ValueCountFrequency (%)
/ 3415
49.1%
. 2079
29.9%
: 1075
 
15.4%
% 229
 
3.3%
& 59
 
0.8%
# 28
 
0.4%
? 25
 
0.4%
, 24
 
0.3%
! 21
 
0.3%
' 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 270
31.5%
0 257
30.0%
1 62
 
7.2%
9 52
 
6.1%
3 46
 
5.4%
8 39
 
4.5%
6 37
 
4.3%
7 33
 
3.8%
4 32
 
3.7%
5 30
 
3.5%
Math Symbol
ValueCountFrequency (%)
= 109
80.1%
~ 27
 
19.9%
Open Punctuation
ValueCountFrequency (%)
( 3
75.0%
{ 1
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
} 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 368
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28343
77.1%
Common 8414
 
22.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 3185
 
11.2%
w 2790
 
9.8%
o 2355
 
8.3%
s 2129
 
7.5%
c 1773
 
6.3%
e 1709
 
6.0%
m 1613
 
5.7%
p 1559
 
5.5%
h 1448
 
5.1%
a 1366
 
4.8%
Other values (42) 8416
29.7%
Common
ValueCountFrequency (%)
/ 3415
40.6%
. 2079
24.7%
: 1075
 
12.8%
- 368
 
4.4%
2 270
 
3.2%
0 257
 
3.1%
% 229
 
2.7%
= 109
 
1.3%
_ 86
 
1.0%
1 62
 
0.7%
Other values (18) 464
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36757
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 3415
 
9.3%
t 3185
 
8.7%
w 2790
 
7.6%
o 2355
 
6.4%
s 2129
 
5.8%
. 2079
 
5.7%
c 1773
 
4.8%
e 1709
 
4.6%
m 1613
 
4.4%
p 1559
 
4.2%
Other values (70) 14150
38.5%
Distinct884
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:43.011983image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length128
Median length56
Mean length28.491211
Min length4

Characters and Unicode

Total characters29175
Distinct characters80
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique871 ?
Unique (%)85.1%

Sample

1st rowMicrosoft Give Match
2nd rowSpark Good Associate Program
3rd rowApple Matching Gifts Program at globalgiving.org
4th rowApple Gives Matching Gift Program
5th rowEmerson Matching Gift Program
ValueCountFrequency (%)
matching 262
 
7.0%
program 230
 
6.2%
report 183
 
4.9%
gift 179
 
4.8%
annual 145
 
3.9%
foundation 140
 
3.7%
string 124
 
3.3%
gifts 68
 
1.8%
corporate 63
 
1.7%
giving 59
 
1.6%
Other values (1257) 2285
61.1%
2024-11-21T19:44:43.425471image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2788
 
9.6%
n 2118
 
7.3%
t 2025
 
6.9%
i 1976
 
6.8%
o 1936
 
6.6%
a 1926
 
6.6%
r 1889
 
6.5%
e 1638
 
5.6%
s 1010
 
3.5%
g 887
 
3.0%
Other values (70) 10982
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21160
72.5%
Uppercase Letter 4822
 
16.5%
Space Separator 2788
 
9.6%
Other Punctuation 297
 
1.0%
Dash Punctuation 52
 
0.2%
Decimal Number 28
 
0.1%
Control 13
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Final Punctuation 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
G 474
 
9.8%
C 464
 
9.6%
M 455
 
9.4%
P 408
 
8.5%
A 398
 
8.3%
R 376
 
7.8%
E 282
 
5.8%
S 263
 
5.5%
F 251
 
5.2%
I 221
 
4.6%
Other values (16) 1230
25.5%
Lowercase Letter
ValueCountFrequency (%)
n 2118
10.0%
t 2025
9.6%
i 1976
9.3%
o 1936
 
9.1%
a 1926
 
9.1%
r 1889
 
8.9%
e 1638
 
7.7%
s 1010
 
4.8%
g 887
 
4.2%
l 842
 
4.0%
Other values (15) 4913
23.2%
Other Punctuation
ValueCountFrequency (%)
. 84
28.3%
/ 82
27.6%
' 53
17.8%
& 33
 
11.1%
: 22
 
7.4%
, 15
 
5.1%
" 4
 
1.3%
; 1
 
0.3%
! 1
 
0.3%
@ 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 6
21.4%
4 5
17.9%
0 4
14.3%
1 3
10.7%
3 3
10.7%
5 2
 
7.1%
6 2
 
7.1%
7 2
 
7.1%
9 1
 
3.6%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
= 1
50.0%
Space Separator
ValueCountFrequency (%)
2788
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Control
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 25982
89.1%
Common 3193
 
10.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 2118
 
8.2%
t 2025
 
7.8%
i 1976
 
7.6%
o 1936
 
7.5%
a 1926
 
7.4%
r 1889
 
7.3%
e 1638
 
6.3%
s 1010
 
3.9%
g 887
 
3.4%
l 842
 
3.2%
Other values (41) 9735
37.5%
Common
ValueCountFrequency (%)
2788
87.3%
. 84
 
2.6%
/ 82
 
2.6%
' 53
 
1.7%
- 52
 
1.6%
& 33
 
1.0%
: 22
 
0.7%
, 15
 
0.5%
13
 
0.4%
2 6
 
0.2%
Other values (19) 45
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29171
> 99.9%
Punctuation 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2788
 
9.6%
n 2118
 
7.3%
t 2025
 
6.9%
i 1976
 
6.8%
o 1936
 
6.6%
a 1926
 
6.6%
r 1889
 
6.5%
e 1638
 
5.6%
s 1010
 
3.5%
g 887
 
3.0%
Other values (69) 10978
37.6%
Punctuation
ValueCountFrequency (%)
4
100.0%
Distinct768
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:43.634521image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length13.510742
Min length0

Characters and Unicode

Total characters13835
Distinct characters74
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique750 ?
Unique (%)73.2%

Sample

1st rowN/A
2nd row(800) 530-9925
3rd row(800)473-7411, (408)974-7411
4th row
5th row+1 312-630-6000
ValueCountFrequency (%)
string 128
 
7.6%
855 105
 
6.2%
866 68
 
4.0%
237-7875 66
 
3.9%
1 60
 
3.5%
800 48
 
2.8%
751-6031 47
 
2.8%
877 23
 
1.4%
781-9980 18
 
1.1%
888 16
 
0.9%
Other values (962) 1113
65.8%
2024-11-21T19:44:43.943269image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1307
 
9.4%
0 1241
 
9.0%
- 1225
 
8.9%
7 1065
 
7.7%
5 960
 
6.9%
883
 
6.4%
6 833
 
6.0%
1 817
 
5.9%
3 802
 
5.8%
2 768
 
5.6%
Other values (64) 3934
28.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9015
65.2%
Lowercase Letter 1445
 
10.4%
Dash Punctuation 1230
 
8.9%
Space Separator 883
 
6.4%
Open Punctuation 464
 
3.4%
Close Punctuation 464
 
3.4%
Other Punctuation 223
 
1.6%
Uppercase Letter 55
 
0.4%
Math Symbol 51
 
0.4%
Format 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 206
14.3%
r 179
12.4%
s 170
11.8%
i 166
11.5%
n 166
11.5%
g 141
9.8%
o 71
 
4.9%
c 58
 
4.0%
e 44
 
3.0%
a 39
 
2.7%
Other values (14) 205
14.2%
Uppercase Letter
ValueCountFrequency (%)
N 7
12.7%
E 6
10.9%
R 5
 
9.1%
A 5
 
9.1%
G 5
 
9.1%
S 3
 
5.5%
F 3
 
5.5%
M 3
 
5.5%
C 2
 
3.6%
B 2
 
3.6%
Other values (11) 14
25.5%
Decimal Number
ValueCountFrequency (%)
8 1307
14.5%
0 1241
13.8%
7 1065
11.8%
5 960
10.6%
6 833
9.2%
1 817
9.1%
3 802
8.9%
2 768
8.5%
4 712
7.9%
9 510
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 149
66.8%
/ 50
 
22.4%
: 12
 
5.4%
@ 4
 
1.8%
, 4
 
1.8%
; 1
 
0.4%
* 1
 
0.4%
· 1
 
0.4%
& 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 1225
99.6%
3
 
0.2%
1
 
0.1%
1
 
0.1%
Space Separator
ValueCountFrequency (%)
883
100.0%
Open Punctuation
ValueCountFrequency (%)
( 464
100.0%
Close Punctuation
ValueCountFrequency (%)
) 464
100.0%
Math Symbol
ValueCountFrequency (%)
+ 51
100.0%
Format
ValueCountFrequency (%)
­ 3
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12335
89.2%
Latin 1500
 
10.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 206
13.7%
r 179
11.9%
s 170
11.3%
i 166
11.1%
n 166
11.1%
g 141
9.4%
o 71
 
4.7%
c 58
 
3.9%
e 44
 
2.9%
a 39
 
2.6%
Other values (35) 260
17.3%
Common
ValueCountFrequency (%)
8 1307
10.6%
0 1241
10.1%
- 1225
9.9%
7 1065
8.6%
5 960
 
7.8%
883
 
7.2%
6 833
 
6.8%
1 817
 
6.6%
3 802
 
6.5%
2 768
 
6.2%
Other values (19) 2434
19.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13826
99.9%
Punctuation 5
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1307
 
9.5%
0 1241
 
9.0%
- 1225
 
8.9%
7 1065
 
7.7%
5 960
 
6.9%
883
 
6.4%
6 833
 
6.0%
1 817
 
5.9%
3 802
 
5.8%
2 768
 
5.6%
Other values (59) 3925
28.4%
None
ValueCountFrequency (%)
­ 3
75.0%
· 1
 
25.0%
Punctuation
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Distinct873
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:44.084297image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length128
Median length70
Mean length24.422852
Min length1

Characters and Unicode

Total characters25009
Distinct characters81
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique861 ?
Unique (%)84.1%

Sample

1st rowcauses@benevity.org
2nd rowsupport@joindeed.com
3rd rowsupport@benevity.com
4th rowapplegives@applereit.com
5th rowmatching.gift@Emerson.com
ValueCountFrequency (%)
string 102
 
8.4%
or 59
 
4.8%
you@home.com 23
 
1.9%
support@benevity.com 20
 
1.6%
17
 
1.4%
support@yourcause.com 9
 
0.7%
support@joindeed.com 4
 
0.3%
the 3
 
0.2%
foundation 3
 
0.2%
teresa_kaplan@eogresources.com 2
 
0.2%
Other values (965) 977
80.1%
2024-11-21T19:44:44.351027image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 2481
 
9.9%
c 1870
 
7.5%
e 1671
 
6.7%
r 1585
 
6.3%
m 1543
 
6.2%
n 1450
 
5.8%
t 1446
 
5.8%
a 1385
 
5.5%
i 1376
 
5.5%
s 1301
 
5.2%
Other values (71) 8901
35.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21502
86.0%
Other Punctuation 2297
 
9.2%
Uppercase Letter 745
 
3.0%
Space Separator 201
 
0.8%
Dash Punctuation 112
 
0.4%
Decimal Number 103
 
0.4%
Connector Punctuation 39
 
0.2%
Math Symbol 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2481
11.5%
c 1870
 
8.7%
e 1671
 
7.8%
r 1585
 
7.4%
m 1543
 
7.2%
n 1450
 
6.7%
t 1446
 
6.7%
a 1385
 
6.4%
i 1376
 
6.4%
s 1301
 
6.1%
Other values (16) 5394
25.1%
Uppercase Letter
ValueCountFrequency (%)
C 92
 
12.3%
R 63
 
8.5%
S 51
 
6.8%
A 43
 
5.8%
G 43
 
5.8%
I 42
 
5.6%
M 41
 
5.5%
F 39
 
5.2%
P 38
 
5.1%
E 37
 
5.0%
Other values (16) 256
34.4%
Other Punctuation
ValueCountFrequency (%)
. 1183
51.5%
@ 953
41.5%
/ 102
 
4.4%
: 30
 
1.3%
& 10
 
0.4%
% 8
 
0.3%
, 5
 
0.2%
; 2
 
0.1%
? 2
 
0.1%
' 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
4 21
20.4%
0 19
18.4%
2 14
13.6%
8 13
12.6%
1 11
10.7%
5 6
 
5.8%
3 6
 
5.8%
6 6
 
5.8%
7 4
 
3.9%
9 3
 
2.9%
Math Symbol
ValueCountFrequency (%)
= 3
75.0%
~ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22247
89.0%
Common 2762
 
11.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2481
11.2%
c 1870
 
8.4%
e 1671
 
7.5%
r 1585
 
7.1%
m 1543
 
6.9%
n 1450
 
6.5%
t 1446
 
6.5%
a 1385
 
6.2%
i 1376
 
6.2%
s 1301
 
5.8%
Other values (42) 6139
27.6%
Common
ValueCountFrequency (%)
. 1183
42.8%
@ 953
34.5%
201
 
7.3%
- 112
 
4.1%
/ 102
 
3.7%
_ 39
 
1.4%
: 30
 
1.1%
4 21
 
0.8%
0 19
 
0.7%
2 14
 
0.5%
Other values (19) 88
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2481
 
9.9%
c 1870
 
7.5%
e 1671
 
6.7%
r 1585
 
6.3%
m 1543
 
6.2%
n 1450
 
5.8%
t 1446
 
5.8%
a 1385
 
5.5%
i 1376
 
5.5%
s 1301
 
5.2%
Other values (71) 8901
35.6%

has_matching_program
Boolean

High correlation 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
True
643 
False
381 
ValueCountFrequency (%)
True 643
62.8%
False 381
37.2%
2024-11-21T19:44:44.432720image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

has_volunteer_grant_program
Boolean

High correlation 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
762 
True
262 
ValueCountFrequency (%)
False 762
74.4%
True 262
 
25.6%
2024-11-21T19:44:44.490260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Distinct1007
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:44.576790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length256
Median length129
Mean length80.12793
Min length0

Characters and Unicode

Total characters82051
Distinct characters81
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique992 ?
Unique (%)96.9%

Sample

1st rowhttps://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RW1hr0s
2nd rowhttps://walmart.org/how-we-give/program-guidelines/spark-good-associate-program-guidelines
3rd rowhttps://forms.matchinggifts.com/AppleGuide.pdf
4th row
5th rowhttps://www.emerson.com/en-us/esg/charitable-giving
ValueCountFrequency (%)
no 6
 
0.6%
4
 
0.4%
supporting 4
 
0.4%
none 3
 
0.3%
https://www.cardinalhealth.com/en/about-us/environmental-social-governance/community-relations/a-culture-of-giving-back.html 3
 
0.3%
link 3
 
0.3%
found 2
 
0.2%
https://www.alexslemonade.org/sites/default/files/images/alsf1/04_frs_and_matching_gifts_nt.pdf 2
 
0.2%
https://emergecenter.org/wp-content/uploads/2021/06/gift-matching-company-list.pdf 2
 
0.2%
https://www.sec.gov/archives/edgar/data/1031203/000103120324000023/ars.pdf 2
 
0.2%
Other values (1014) 1023
97.1%
2024-11-21T19:44:44.778355image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 5628
 
6.9%
t 5468
 
6.7%
e 4324
 
5.3%
o 4315
 
5.3%
s 4206
 
5.1%
a 3519
 
4.3%
n 3479
 
4.2%
i 3430
 
4.2%
c 3096
 
3.8%
p 2988
 
3.6%
Other values (71) 41598
50.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 55479
67.6%
Decimal Number 10553
 
12.9%
Other Punctuation 9663
 
11.8%
Uppercase Letter 3015
 
3.7%
Dash Punctuation 2628
 
3.2%
Connector Punctuation 589
 
0.7%
Math Symbol 86
 
0.1%
Space Separator 31
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 5468
 
9.9%
e 4324
 
7.8%
o 4315
 
7.8%
s 4206
 
7.6%
a 3519
 
6.3%
n 3479
 
6.3%
i 3430
 
6.2%
c 3096
 
5.6%
p 2988
 
5.4%
r 2854
 
5.1%
Other values (16) 17800
32.1%
Uppercase Letter
ValueCountFrequency (%)
A 309
 
10.2%
R 249
 
8.3%
C 224
 
7.4%
F 203
 
6.7%
S 198
 
6.6%
G 193
 
6.4%
I 170
 
5.6%
P 161
 
5.3%
M 154
 
5.1%
E 150
 
5.0%
Other values (16) 1004
33.3%
Decimal Number
ValueCountFrequency (%)
0 2366
22.4%
2 2143
20.3%
1 1185
11.2%
4 933
 
8.8%
3 905
 
8.6%
5 643
 
6.1%
8 620
 
5.9%
9 614
 
5.8%
6 584
 
5.5%
7 560
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/ 5628
58.2%
. 2768
28.6%
: 1020
 
10.6%
% 182
 
1.9%
? 33
 
0.3%
& 22
 
0.2%
# 8
 
0.1%
, 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 52
60.5%
+ 24
27.9%
~ 8
 
9.3%
< 1
 
1.2%
> 1
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 2628
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 589
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 58494
71.3%
Common 23557
28.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 5468
 
9.3%
e 4324
 
7.4%
o 4315
 
7.4%
s 4206
 
7.2%
a 3519
 
6.0%
n 3479
 
5.9%
i 3430
 
5.9%
c 3096
 
5.3%
p 2988
 
5.1%
r 2854
 
4.9%
Other values (42) 20815
35.6%
Common
ValueCountFrequency (%)
/ 5628
23.9%
. 2768
11.8%
- 2628
11.2%
0 2366
10.0%
2 2143
 
9.1%
1 1185
 
5.0%
: 1020
 
4.3%
4 933
 
4.0%
3 905
 
3.8%
5 643
 
2.7%
Other values (19) 3338
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 5628
 
6.9%
t 5468
 
6.7%
e 4324
 
5.3%
o 4315
 
5.3%
s 4206
 
5.1%
a 3519
 
4.3%
n 3479
 
4.2%
i 3430
 
4.2%
c 3096
 
3.8%
p 2988
 
3.6%
Other values (71) 41598
50.7%

matching_ratio
Categorical

High correlation  Imbalance 

Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
1:1
581 
0:0
350 
string
 
34
2:1
 
27
1:2
 
9
Other values (12)
 
23

Length

Max length10
Median length3
Mean length3.1474609
Min length1

Characters and Unicode

Total characters3223
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row1:1
2nd row1:1
3rd row1:1
4th row1:1
5th row1:1

Common Values

ValueCountFrequency (%)
1:1 581
56.7%
0:0 350
34.2%
string 34
 
3.3%
2:1 27
 
2.6%
1:2 9
 
0.9%
0.5:1 4
 
0.4%
3:1 4
 
0.4%
0 2
 
0.2%
1.5:1 2
 
0.2%
0.25:1 2
 
0.2%
Other values (7) 9
 
0.9%

Length

2024-11-21T19:44:44.861774image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1:1 581
56.7%
0:0 350
34.1%
string 34
 
3.3%
2:1 27
 
2.6%
1:2 9
 
0.9%
0.5:1 4
 
0.4%
3:1 4
 
0.4%
0 2
 
0.2%
1.5:1 2
 
0.2%
0.25:1 2
 
0.2%
Other values (8) 10
 
1.0%

Most occurring characters

ValueCountFrequency (%)
1 1230
38.2%
: 992
30.8%
0 711
22.1%
2 42
 
1.3%
r 36
 
1.1%
t 34
 
1.1%
s 34
 
1.1%
i 34
 
1.1%
n 34
 
1.1%
g 34
 
1.1%
Other values (13) 42
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2001
62.1%
Other Punctuation 1007
31.2%
Lowercase Letter 211
 
6.5%
Space Separator 2
 
0.1%
Uppercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 36
17.1%
t 34
16.1%
s 34
16.1%
i 34
16.1%
n 34
16.1%
g 34
16.1%
e 2
 
0.9%
o 1
 
0.5%
v 1
 
0.5%
y 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 1230
61.5%
0 711
35.5%
2 42
 
2.1%
5 11
 
0.5%
3 4
 
0.2%
7 2
 
0.1%
4 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 992
98.5%
. 11
 
1.1%
, 4
 
0.4%
Space Separator
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3011
93.4%
Latin 212
 
6.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1230
40.9%
: 992
32.9%
0 711
23.6%
2 42
 
1.4%
. 11
 
0.4%
5 11
 
0.4%
3 4
 
0.1%
, 4
 
0.1%
7 2
 
0.1%
2
 
0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
r 36
17.0%
t 34
16.0%
s 34
16.0%
i 34
16.0%
n 34
16.0%
g 34
16.0%
e 2
 
0.9%
o 1
 
0.5%
F 1
 
0.5%
v 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3223
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1230
38.2%
: 992
30.8%
0 711
22.1%
2 42
 
1.3%
r 36
 
1.1%
t 34
 
1.1%
s 34
 
1.1%
i 34
 
1.1%
n 34
 
1.1%
g 34
 
1.1%
Other values (13) 42
 
1.3%

min_match_limit
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.299805
Minimum0
Maximum10000
Zeros473
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:44.935184image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q325
95-th percentile50
Maximum10000
Range10000
Interquartile range (IQR)25

Descriptive statistics

Standard deviation319.92029
Coefficient of variation (CV)10.221159
Kurtosis924.37919
Mean31.299805
Median Absolute Deviation (MAD)1
Skewness29.765782
Sum32051
Variance102348.99
MonotonicityNot monotonic
2024-11-21T19:44:45.008984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 473
46.2%
25 279
27.2%
50 94
 
9.2%
1 61
 
6.0%
10 43
 
4.2%
100 34
 
3.3%
20 18
 
1.8%
5 4
 
0.4%
250 4
 
0.4%
1000 3
 
0.3%
Other values (9) 11
 
1.1%
ValueCountFrequency (%)
0 473
46.2%
1 61
 
6.0%
5 4
 
0.4%
10 43
 
4.2%
15 2
 
0.2%
20 18
 
1.8%
24 2
 
0.2%
25 279
27.2%
30 1
 
0.1%
35 1
 
0.1%
ValueCountFrequency (%)
10000 1
 
0.1%
1212 1
 
0.1%
1000 3
 
0.3%
400 1
 
0.1%
250 4
 
0.4%
200 1
 
0.1%
150 1
 
0.1%
100 34
 
3.3%
50 94
9.2%
35 1
 
0.1%

max_match_onetime_limit
Real number (ℝ)

High correlation  Zeros 

Distinct41
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3666.2783
Minimum0
Maximum150000
Zeros438
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:45.088274image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median500
Q35000
95-th percentile15000
Maximum150000
Range150000
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation9806.6172
Coefficient of variation (CV)2.6748153
Kurtosis87.396131
Mean3666.2783
Median Absolute Deviation (MAD)500
Skewness8.005274
Sum3754269
Variance96169741
MonotonicityNot monotonic
2024-11-21T19:44:45.177873image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 438
42.8%
1000 111
 
10.8%
5000 107
 
10.4%
10000 69
 
6.7%
2500 54
 
5.3%
500 50
 
4.9%
2000 38
 
3.7%
1500 17
 
1.7%
3000 17
 
1.7%
15000 15
 
1.5%
Other values (31) 108
 
10.5%
ValueCountFrequency (%)
0 438
42.8%
4 1
 
0.1%
100 10
 
1.0%
150 1
 
0.1%
200 2
 
0.2%
250 11
 
1.1%
300 1
 
0.1%
500 50
 
4.9%
725 1
 
0.1%
750 2
 
0.2%
ValueCountFrequency (%)
150000 1
 
0.1%
100000 4
 
0.4%
75000 1
 
0.1%
50000 3
 
0.3%
35000 1
 
0.1%
30000 3
 
0.3%
29400 1
 
0.1%
25000 14
1.4%
23000 2
 
0.2%
21140 1
 
0.1%

max_match_period_limit
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)1.0%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean155.348
Minimum0
Maximum25000
Zeros393
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:45.257052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum25000
Range25000
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1356.979
Coefficient of variation (CV)8.7350919
Kurtosis154.10143
Mean155.348
Median Absolute Deviation (MAD)0
Skewness11.296359
Sum158921
Variance1841392
MonotonicityNot monotonic
2024-11-21T19:44:45.325662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 610
59.6%
0 393
38.4%
5000 7
 
0.7%
10000 6
 
0.6%
15000 2
 
0.2%
7500 1
 
0.1%
500 1
 
0.1%
300 1
 
0.1%
25000 1
 
0.1%
11 1
 
0.1%
(Missing) 1
 
0.1%
ValueCountFrequency (%)
0 393
38.4%
1 610
59.6%
11 1
 
0.1%
300 1
 
0.1%
500 1
 
0.1%
5000 7
 
0.7%
7500 1
 
0.1%
10000 6
 
0.6%
15000 2
 
0.2%
25000 1
 
0.1%
ValueCountFrequency (%)
25000 1
 
0.1%
15000 2
 
0.2%
10000 6
 
0.6%
7500 1
 
0.1%
5000 7
 
0.7%
500 1
 
0.1%
300 1
 
0.1%
11 1
 
0.1%
1 610
59.6%
0 393
38.4%

max_match_limit_period_type
Categorical

High correlation  Imbalance 

Distinct4
Distinct (%)0.4%
Missing1
Missing (%)0.1%
Memory size8.1 KiB
1.0
637 
0.0
384 
2.0
 
1
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3069
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 637
62.2%
0.0 384
37.5%
2.0 1
 
0.1%
4.0 1
 
0.1%
(Missing) 1
 
0.1%

Length

2024-11-21T19:44:45.402851image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-21T19:44:45.467650image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 637
62.3%
0.0 384
37.5%
2.0 1
 
0.1%
4.0 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 1407
45.8%
. 1023
33.3%
1 637
20.8%
2 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2046
66.7%
Other Punctuation 1023
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1407
68.8%
1 637
31.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 1023
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3069
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1407
45.8%
. 1023
33.3%
1 637
20.8%
2 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3069
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1407
45.8%
. 1023
33.3%
1 637
20.8%
2 1
 
< 0.1%
4 1
 
< 0.1%

data_source_type_id
Categorical

High correlation  Imbalance 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
1
1017 
2
 
5
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1024
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 1017
99.3%
2 5
 
0.5%
3 2
 
0.2%

Length

2024-11-21T19:44:45.540415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-21T19:44:45.601135image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1017
99.3%
2 5
 
0.5%
3 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
1 1017
99.3%
2 5
 
0.5%
3 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1024
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1017
99.3%
2 5
 
0.5%
3 2
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 1024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1017
99.3%
2 5
 
0.5%
3 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1017
99.3%
2 5
 
0.5%
3 2
 
0.2%

min_volunteer_hour_limit
Categorical

High correlation  Imbalance 

Distinct30
Distinct (%)2.9%
Missing1
Missing (%)0.1%
Memory size8.1 KiB
string
758 
1
 
60
0
 
43
10
 
30
25
 
27
Other values (25)
105 

Length

Max length31
Median length6
Mean length5.0078201
Min length1

Characters and Unicode

Total characters5123
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th rowstring

Common Values

ValueCountFrequency (%)
string 758
74.0%
1 60
 
5.9%
0 43
 
4.2%
10 30
 
2.9%
25 27
 
2.6%
20 24
 
2.3%
50 18
 
1.8%
40 13
 
1.3%
15 7
 
0.7%
5 7
 
0.7%
Other values (20) 36
 
3.5%

Length

2024-11-21T19:44:45.680216image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
string 758
73.0%
1 60
 
5.8%
0 43
 
4.1%
10 31
 
3.0%
25 27
 
2.6%
20 24
 
2.3%
50 18
 
1.7%
40 13
 
1.3%
15 7
 
0.7%
5 7
 
0.7%
Other values (30) 51
 
4.9%

Most occurring characters

ValueCountFrequency (%)
r 771
15.0%
t 768
15.0%
n 767
15.0%
s 765
14.9%
i 765
14.9%
g 760
14.8%
0 141
 
2.8%
1 102
 
2.0%
5 61
 
1.2%
2 56
 
1.1%
Other values (28) 167
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4694
91.6%
Decimal Number 398
 
7.8%
Space Separator 16
 
0.3%
Uppercase Letter 8
 
0.2%
Other Punctuation 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 771
16.4%
t 768
16.4%
n 767
16.3%
s 765
16.3%
i 765
16.3%
g 760
16.2%
o 21
 
0.4%
e 20
 
0.4%
a 8
 
0.2%
m 8
 
0.2%
Other values (10) 41
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 141
35.4%
1 102
25.6%
5 61
15.3%
2 56
 
14.1%
4 20
 
5.0%
3 9
 
2.3%
8 6
 
1.5%
6 3
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
N 2
25.0%
T 2
25.0%
I 1
12.5%
G 1
12.5%
R 1
12.5%
V 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 3
42.9%
/ 3
42.9%
: 1
 
14.3%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4702
91.8%
Common 421
 
8.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 771
16.4%
t 768
16.3%
n 767
16.3%
s 765
16.3%
i 765
16.3%
g 760
16.2%
o 21
 
0.4%
e 20
 
0.4%
a 8
 
0.2%
m 8
 
0.2%
Other values (16) 49
 
1.0%
Common
ValueCountFrequency (%)
0 141
33.5%
1 102
24.2%
5 61
14.5%
2 56
 
13.3%
4 20
 
4.8%
16
 
3.8%
3 9
 
2.1%
8 6
 
1.4%
6 3
 
0.7%
. 3
 
0.7%
Other values (2) 4
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5123
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 771
15.0%
t 768
15.0%
n 767
15.0%
s 765
14.9%
i 765
14.9%
g 760
14.8%
0 141
 
2.8%
1 102
 
2.0%
5 61
 
1.2%
2 56
 
1.1%
Other values (28) 167
 
3.3%

max_volunteer_hour_limit
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct35
Distinct (%)3.4%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1084.8113
Minimum0
Maximum1000000
Zeros869
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:45.764744image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile50
Maximum1000000
Range1000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31417.865
Coefficient of variation (CV)28.961594
Kurtosis1002.8761
Mean1084.8113
Median Absolute Deviation (MAD)0
Skewness31.541021
Sum1109762
Variance9.8708226 × 108
MonotonicityNot monotonic
2024-11-21T19:44:45.854746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 869
84.9%
100 28
 
2.7%
50 28
 
2.7%
40 20
 
2.0%
10 18
 
1.8%
25 7
 
0.7%
20 6
 
0.6%
30 4
 
0.4%
24 4
 
0.4%
200 3
 
0.3%
Other values (25) 36
 
3.5%
ValueCountFrequency (%)
0 869
84.9%
1 3
 
0.3%
2 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
5 3
 
0.3%
8 1
 
0.1%
10 18
 
1.8%
12 1
 
0.1%
15 2
 
0.2%
ValueCountFrequency (%)
1000000 1
 
0.1%
100000 1
 
0.1%
1000 1
 
0.1%
300 1
 
0.1%
250 3
0.3%
240 1
 
0.1%
200 3
0.3%
160 1
 
0.1%
140 1
 
0.1%
110 1
 
0.1%

max_volunteer_limit_period_type
Categorical

High correlation 

Distinct3
Distinct (%)0.3%
Missing1
Missing (%)0.1%
Memory size8.1 KiB
0.0
784 
1.0
235 
2.0
 
4

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3069
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 784
76.6%
1.0 235
 
22.9%
2.0 4
 
0.4%
(Missing) 1
 
0.1%

Length

2024-11-21T19:44:45.958268image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-21T19:44:46.023866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 784
76.6%
1.0 235
 
23.0%
2.0 4
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 1807
58.9%
. 1023
33.3%
1 235
 
7.7%
2 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2046
66.7%
Other Punctuation 1023
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1807
88.3%
1 235
 
11.5%
2 4
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 1023
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3069
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1807
58.9%
. 1023
33.3%
1 235
 
7.7%
2 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3069
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1807
58.9%
. 1023
33.3%
1 235
 
7.7%
2 4
 
0.1%
Distinct198
Distinct (%)19.4%
Missing1
Missing (%)0.1%
Memory size8.1 KiB
2024-11-21T19:44:46.170118image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length128
Median length6
Mean length10.911046
Min length1

Characters and Unicode

Total characters11162
Distinct characters69
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)16.8%

Sample

1st rowUSD 25 per hour
2nd row$10 per hour volunteered (up to $1,000)
3rd row$25 per hour
4th rownot found
5th rowstring
ValueCountFrequency (%)
string 754
35.6%
hours 117
 
5.5%
for 98
 
4.6%
per 94
 
4.4%
hour 71
 
3.4%
grant 69
 
3.3%
500 57
 
2.7%
10 53
 
2.5%
25 45
 
2.1%
to 30
 
1.4%
Other values (210) 730
34.5%
2024-11-21T19:44:46.471742image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 1375
12.3%
1118
10.0%
t 1036
9.3%
n 973
 
8.7%
s 941
 
8.4%
g 857
 
7.7%
i 855
 
7.7%
0 544
 
4.9%
o 538
 
4.8%
e 390
 
3.5%
Other values (59) 2535
22.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8484
76.0%
Space Separator 1118
 
10.0%
Decimal Number 1093
 
9.8%
Currency Symbol 251
 
2.2%
Uppercase Letter 130
 
1.2%
Other Punctuation 36
 
0.3%
Open Punctuation 19
 
0.2%
Close Punctuation 18
 
0.2%
Dash Punctuation 9
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 1375
16.2%
t 1036
12.2%
n 973
11.5%
s 941
11.1%
g 857
10.1%
i 855
10.1%
o 538
 
6.3%
e 390
 
4.6%
u 323
 
3.8%
a 232
 
2.7%
Other values (15) 964
11.4%
Uppercase Letter
ValueCountFrequency (%)
H 32
24.6%
D 11
 
8.5%
R 9
 
6.9%
E 9
 
6.9%
M 7
 
5.4%
A 7
 
5.4%
U 7
 
5.4%
O 6
 
4.6%
I 6
 
4.6%
P 6
 
4.6%
Other values (9) 30
23.1%
Decimal Number
ValueCountFrequency (%)
0 544
49.8%
5 199
 
18.2%
1 152
 
13.9%
2 125
 
11.4%
4 32
 
2.9%
3 18
 
1.6%
6 8
 
0.7%
8 7
 
0.6%
7 6
 
0.5%
9 2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 19
52.8%
. 12
33.3%
: 2
 
5.6%
/ 1
 
2.8%
1
 
2.8%
; 1
 
2.8%
Math Symbol
ValueCountFrequency (%)
> 2
50.0%
+ 1
25.0%
= 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
77.8%
2
 
22.2%
Space Separator
ValueCountFrequency (%)
1118
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 251
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8614
77.2%
Common 2548
 
22.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 1375
16.0%
t 1036
12.0%
n 973
11.3%
s 941
10.9%
g 857
9.9%
i 855
9.9%
o 538
 
6.2%
e 390
 
4.5%
u 323
 
3.7%
a 232
 
2.7%
Other values (34) 1094
12.7%
Common
ValueCountFrequency (%)
1118
43.9%
0 544
21.4%
$ 251
 
9.9%
5 199
 
7.8%
1 152
 
6.0%
2 125
 
4.9%
4 32
 
1.3%
( 19
 
0.7%
, 19
 
0.7%
) 18
 
0.7%
Other values (15) 71
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11159
> 99.9%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 1375
12.3%
1118
10.0%
t 1036
9.3%
n 973
 
8.7%
s 941
 
8.4%
g 857
 
7.7%
i 855
 
7.7%
0 544
 
4.9%
o 538
 
4.8%
e 390
 
3.5%
Other values (57) 2532
22.7%
Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Distinct960
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:46.569562image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length512
Median length125
Mean length72.777344
Min length1

Characters and Unicode

Total characters74524
Distinct characters85
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique949 ?
Unique (%)92.7%

Sample

1st rowhttps://microsoft.benevity.org/user/login
2nd rowhttps://wmlink/sparkgoodassociategiving [Internal]
3rd rowhttps://apple.benevity.org/user/login
4th rowhttps://files.doublethedonation.com/forms/apple-hospitality-REIT.pdf
5th rowhttps://emerson.yourcause.com/
ValueCountFrequency (%)
string 53
 
4.9%
no 6
 
0.6%
supporting 5
 
0.5%
link 4
 
0.4%
4
 
0.4%
available 4
 
0.4%
none 3
 
0.3%
not 3
 
0.3%
https://microsoft.benevity.org/user/login 2
 
0.2%
https://forms.matchinggifts.com/freeportmcmoran.pdf 2
 
0.2%
Other values (982) 991
92.0%
2024-11-21T19:44:46.778936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 4981
 
6.7%
t 4926
 
6.6%
e 4012
 
5.4%
o 3957
 
5.3%
s 3775
 
5.1%
n 3203
 
4.3%
i 3123
 
4.2%
a 3076
 
4.1%
c 2728
 
3.7%
r 2643
 
3.5%
Other values (75) 38100
51.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 50311
67.5%
Decimal Number 9479
 
12.7%
Other Punctuation 8886
 
11.9%
Uppercase Letter 3033
 
4.1%
Dash Punctuation 2079
 
2.8%
Connector Punctuation 534
 
0.7%
Math Symbol 125
 
0.2%
Space Separator 69
 
0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 4926
 
9.8%
e 4012
 
8.0%
o 3957
 
7.9%
s 3775
 
7.5%
n 3203
 
6.4%
i 3123
 
6.2%
a 3076
 
6.1%
c 2728
 
5.4%
r 2643
 
5.3%
p 2627
 
5.2%
Other values (16) 16241
32.3%
Uppercase Letter
ValueCountFrequency (%)
A 284
 
9.4%
F 266
 
8.8%
R 211
 
7.0%
C 201
 
6.6%
S 182
 
6.0%
D 168
 
5.5%
M 159
 
5.2%
E 156
 
5.1%
G 154
 
5.1%
I 145
 
4.8%
Other values (16) 1107
36.5%
Other Punctuation
ValueCountFrequency (%)
/ 4981
56.1%
. 2536
28.5%
: 964
 
10.8%
% 282
 
3.2%
& 56
 
0.6%
? 47
 
0.5%
# 12
 
0.1%
, 3
 
< 0.1%
@ 3
 
< 0.1%
; 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 2098
22.1%
2 1887
19.9%
1 977
10.3%
4 839
 
8.9%
3 818
 
8.6%
5 610
 
6.4%
8 599
 
6.3%
6 570
 
6.0%
9 548
 
5.8%
7 533
 
5.6%
Math Symbol
ValueCountFrequency (%)
= 96
76.8%
+ 19
 
15.2%
~ 8
 
6.4%
< 1
 
0.8%
> 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 3
75.0%
] 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 3
75.0%
[ 1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2079
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 534
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 53344
71.6%
Common 21180
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 4926
 
9.2%
e 4012
 
7.5%
o 3957
 
7.4%
s 3775
 
7.1%
n 3203
 
6.0%
i 3123
 
5.9%
a 3076
 
5.8%
c 2728
 
5.1%
r 2643
 
5.0%
p 2627
 
4.9%
Other values (42) 19274
36.1%
Common
ValueCountFrequency (%)
/ 4981
23.5%
. 2536
12.0%
0 2098
9.9%
- 2079
9.8%
2 1887
 
8.9%
1 977
 
4.6%
: 964
 
4.6%
4 839
 
4.0%
3 818
 
3.9%
5 610
 
2.9%
Other values (23) 3391
16.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 4981
 
6.7%
t 4926
 
6.6%
e 4012
 
5.4%
o 3957
 
5.3%
s 3775
 
5.1%
n 3203
 
4.3%
i 3123
 
4.2%
a 3076
 
4.1%
c 2728
 
3.7%
r 2643
 
3.5%
Other values (75) 38100
51.1%
Distinct408
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:46.988380image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1228
Median length6
Mean length66.561523
Min length4

Characters and Unicode

Total characters68159
Distinct characters91
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique380 ?
Unique (%)37.1%

Sample

1st rowSubmit requests for donations made in last 12 months.
2nd rowAssociates may submit volunteer matching grant applications starting Feb.1 through Jan.31 at 11:59 pm (EST) for hours completed during the current fiscal year(Feb1 – Jan31), up to 100 hours per associate. Volunteer hours submitted must be within the same fiscal year the hours were completed. Organizations must confirm volunteer hours within 90 days of submission.
3rd rowThe submission should be completed within 12 months of the matched request; monetory or volunteering.
4th rowEnd of Year
5th rowSeptember 30
ValueCountFrequency (%)
the 686
 
6.2%
string 559
 
5.1%
of 347
 
3.1%
be 276
 
2.5%
to 251
 
2.3%
matching 238
 
2.2%
gift 209
 
1.9%
year 191
 
1.7%
a 189
 
1.7%
within 188
 
1.7%
Other values (1321) 7884
71.6%
2024-11-21T19:44:47.316351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9762
14.3%
e 5832
 
8.6%
t 5564
 
8.2%
i 4745
 
7.0%
n 4193
 
6.2%
o 3803
 
5.6%
a 3761
 
5.5%
r 3622
 
5.3%
s 3357
 
4.9%
h 2043
 
3.0%
Other values (81) 21477
31.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 53675
78.7%
Space Separator 9765
 
14.3%
Uppercase Letter 1841
 
2.7%
Decimal Number 1166
 
1.7%
Other Punctuation 1055
 
1.5%
Control 441
 
0.6%
Dash Punctuation 81
 
0.1%
Open Punctuation 45
 
0.1%
Close Punctuation 44
 
0.1%
Final Punctuation 31
 
< 0.1%
Other values (5) 15
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5832
 
10.9%
t 5564
 
10.4%
i 4745
 
8.8%
n 4193
 
7.8%
o 3803
 
7.1%
a 3761
 
7.0%
r 3622
 
6.7%
s 3357
 
6.3%
h 2043
 
3.8%
l 1910
 
3.6%
Other values (16) 14845
27.7%
Uppercase Letter
ValueCountFrequency (%)
A 176
 
9.6%
E 174
 
9.5%
M 157
 
8.5%
T 139
 
7.6%
F 139
 
7.6%
D 135
 
7.3%
C 108
 
5.9%
J 93
 
5.1%
P 87
 
4.7%
G 87
 
4.7%
Other values (16) 546
29.7%
Other Punctuation
ValueCountFrequency (%)
. 579
54.9%
, 264
25.0%
/ 86
 
8.2%
: 66
 
6.3%
' 21
 
2.0%
13
 
1.2%
; 5
 
0.5%
* 5
 
0.5%
@ 4
 
0.4%
! 4
 
0.4%
Other values (3) 8
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 345
29.6%
3 193
16.6%
0 191
16.4%
2 178
15.3%
5 82
 
7.0%
6 58
 
5.0%
9 56
 
4.8%
4 38
 
3.3%
8 20
 
1.7%
7 5
 
0.4%
Control
ValueCountFrequency (%)
284
64.4%
153
34.7%
 4
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 72
88.9%
5
 
6.2%
4
 
4.9%
Space Separator
ValueCountFrequency (%)
9762
> 99.9%
3
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Final Punctuation
ValueCountFrequency (%)
31
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 10
100.0%
Format
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Private Use
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 55516
81.5%
Common 12642
 
18.5%
Unknown 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5832
 
10.5%
t 5564
 
10.0%
i 4745
 
8.5%
n 4193
 
7.6%
o 3803
 
6.9%
a 3761
 
6.8%
r 3622
 
6.5%
s 3357
 
6.0%
h 2043
 
3.7%
l 1910
 
3.4%
Other values (42) 16686
30.1%
Common
ValueCountFrequency (%)
9762
77.2%
. 579
 
4.6%
1 345
 
2.7%
284
 
2.2%
, 264
 
2.1%
3 193
 
1.5%
0 191
 
1.5%
2 178
 
1.4%
153
 
1.2%
/ 86
 
0.7%
Other values (28) 607
 
4.8%
Unknown
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68100
99.9%
Punctuation 58
 
0.1%
PUA 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9762
14.3%
e 5832
 
8.6%
t 5564
 
8.2%
i 4745
 
7.0%
n 4193
 
6.2%
o 3803
 
5.6%
a 3761
 
5.5%
r 3622
 
5.3%
s 3357
 
4.9%
h 2043
 
3.0%
Other values (74) 21418
31.5%
Punctuation
ValueCountFrequency (%)
31
53.4%
13
22.4%
5
 
8.6%
4
 
6.9%
3
 
5.2%
2
 
3.4%
PUA
ValueCountFrequency (%)
1
100.0%
Distinct646
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:47.539397image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1485
Median length819
Mean length177.89258
Min length4

Characters and Unicode

Total characters182162
Distinct characters114
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique626 ?
Unique (%)61.1%

Sample

1st rowMicrosoft employees to submit their match requests for monetary donations via aka.ms/give (internal Microsoft only website). Or can be submitted at: https://microsoft.benevity.org/user/login
2nd rowWalmart offers a matching gift program, however, not all associate donations made through the Spark Good Associate platform are automatically matched. At least twice per fiscal year, Walmart offers matching campaigns for all active part-time and full-time US based associates, up to $10,000 in personal contributions per fiscal year. Associates will be notified when the matching opportunities are available. Associates can give through credit card, debit card or payroll to any eligible organization. All associate donations and Spark Good matching grants are made to PayPal Giving Fund (PPGF), a donor advised fund. This means that donors make recommendations to PPGF to distribute funds to the recommended organization. For credit card donations to NCES schools, these donations are made to Network for Good (NFG), a donor advised fund that will distribute to recommended school.
3rd rowBenevity administers the Apple Matching Gifts Program. Visit the Employee Giving portal to request a matching donation for your volunteer time or to make a one-time or repeating monetary donation to the charitable organization (or cause) of your choice using a credit card or PayPal account. You can also request a match for a monetary or stock donation you’ve already made.When you make a donation to a US-based organization through the Employee Giving portal, your donation is processed immediately and your funds (along with the matching funds from Apple) are distributed within 60 days. When you request a matching contribution for your volunteer time or a monetary donation you made to an eligible US-based organization outside the portal, the matching funds from Apple are distributed within 60 days of your request.When you make a donation or request a matching contribution on the portal through the “International Giving” option, timelines for the donation and match distribution may be longer, because a minimum donation threshold of US$250 for any given charity must first be reached before funds are distributed. See the FAQ on the Employee Giving portal for more details. Donations and Apple matching contributions are made through a foundation fund based in the United States, and then distributed to your chosen organization. Contact your own tax or financial advisor for questions regarding the tax, financial, or other implications of making a charitable contribution.
4th row<p><strong>Apple Hospitality REIT matches employee donations to most nonprofits including:</strong></p> <ul> <li>Educational institutions (K-12 included)</li> <li>Health and human services</li> <li>Arts and cultural organizations</li> <li>Civic and community organizations</li> <li>Environmental organizations</li> <li>And most other nonprofits</li> </ul> <p><strong>Apple Hospitality REIT's Matching Gift Submission Process:<br /></strong>Employees should download a copy of the most up-to-date matching gift form from the company intranet by searching for "matching gifts". Alternatively, employees may use the form provided to us at {{forms}}.</p>
5th rowWhile on the company intranet, employees should submit their matching gift requests electronically at https://emerson.yourcause.com/
ValueCountFrequency (%)
the 1564
 
6.1%
matching 851
 
3.3%
to 760
 
3.0%
gift 593
 
2.3%
employees 488
 
1.9%
and 473
 
1.8%
a 468
 
1.8%
of 463
 
1.8%
form 368
 
1.4%
at 350
 
1.4%
Other values (2771) 19355
75.2%
2024-11-21T19:44:47.876817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23619
 
13.0%
e 14805
 
8.1%
t 14703
 
8.1%
o 12499
 
6.9%
i 11623
 
6.4%
n 10744
 
5.9%
a 9972
 
5.5%
r 9299
 
5.1%
s 7617
 
4.2%
l 5862
 
3.2%
Other values (104) 61419
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 142575
78.3%
Space Separator 23619
 
13.0%
Uppercase Letter 5690
 
3.1%
Other Punctuation 5596
 
3.1%
Decimal Number 1871
 
1.0%
Control 1370
 
0.8%
Dash Punctuation 535
 
0.3%
Open Punctuation 216
 
0.1%
Close Punctuation 215
 
0.1%
Final Punctuation 120
 
0.1%
Other values (7) 355
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 14805
 
10.4%
t 14703
 
10.3%
o 12499
 
8.8%
i 11623
 
8.2%
n 10744
 
7.5%
a 9972
 
7.0%
r 9299
 
6.5%
s 7617
 
5.3%
l 5862
 
4.1%
h 5698
 
4.0%
Other values (16) 39753
27.9%
Uppercase Letter
ValueCountFrequency (%)
P 517
 
9.1%
E 510
 
9.0%
M 468
 
8.2%
T 464
 
8.2%
G 402
 
7.1%
I 394
 
6.9%
A 351
 
6.2%
C 348
 
6.1%
S 303
 
5.3%
F 288
 
5.1%
Other values (16) 1645
28.9%
Other Punctuation
ValueCountFrequency (%)
. 2124
38.0%
/ 1494
26.7%
, 880
15.7%
: 535
 
9.6%
' 203
 
3.6%
" 158
 
2.8%
72
 
1.3%
? 31
 
0.6%
@ 27
 
0.5%
; 21
 
0.4%
Other values (5) 51
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 498
26.6%
1 265
14.2%
2 239
12.8%
3 195
 
10.4%
5 194
 
10.4%
4 127
 
6.8%
6 110
 
5.9%
8 96
 
5.1%
7 87
 
4.6%
9 60
 
3.2%
Math Symbol
ValueCountFrequency (%)
= 34
39.5%
> 25
29.1%
< 23
26.7%
~ 2
 
2.3%
+ 1
 
1.2%
| 1
 
1.2%
Control
ValueCountFrequency (%)
1042
76.1%
315
 
23.0%
 5
 
0.4%
‹ 4
 
0.3%
ƒ 4
 
0.3%
Private Use
ValueCountFrequency (%)
5
33.3%
4
26.7%
3
20.0%
2
 
13.3%
1
 
6.7%
Other Symbol
ValueCountFrequency (%)
4
33.3%
3
25.0%
2
16.7%
2
16.7%
® 1
 
8.3%
Dash Punctuation
ValueCountFrequency (%)
- 503
94.0%
29
 
5.4%
3
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 214
99.1%
{ 2
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 212
98.6%
} 3
 
1.4%
Final Punctuation
ValueCountFrequency (%)
90
75.0%
30
 
25.0%
Initial Punctuation
ValueCountFrequency (%)
31
93.9%
2
 
6.1%
Format
ValueCountFrequency (%)
­ 3
75.0%
1
 
25.0%
Space Separator
ValueCountFrequency (%)
23619
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 104
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 148265
81.4%
Common 33882
 
18.6%
Unknown 15
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
23619
69.7%
. 2124
 
6.3%
/ 1494
 
4.4%
1042
 
3.1%
, 880
 
2.6%
: 535
 
1.6%
- 503
 
1.5%
0 498
 
1.5%
315
 
0.9%
1 265
 
0.8%
Other values (47) 2607
 
7.7%
Latin
ValueCountFrequency (%)
e 14805
 
10.0%
t 14703
 
9.9%
o 12499
 
8.4%
i 11623
 
7.8%
n 10744
 
7.2%
a 9972
 
6.7%
r 9299
 
6.3%
s 7617
 
5.1%
l 5862
 
4.0%
h 5698
 
3.8%
Other values (42) 45443
30.6%
Unknown
ValueCountFrequency (%)
5
33.3%
4
26.7%
3
20.0%
2
 
13.3%
1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 181866
99.8%
Punctuation 258
 
0.1%
PUA 15
 
< 0.1%
None 12
 
< 0.1%
Geometric Shapes 9
 
< 0.1%
Misc Symbols 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23619
 
13.0%
e 14805
 
8.1%
t 14703
 
8.1%
o 12499
 
6.9%
i 11623
 
6.4%
n 10744
 
5.9%
a 9972
 
5.5%
r 9299
 
5.1%
s 7617
 
4.2%
l 5862
 
3.2%
Other values (83) 61123
33.6%
Punctuation
ValueCountFrequency (%)
90
34.9%
72
27.9%
31
 
12.0%
30
 
11.6%
29
 
11.2%
3
 
1.2%
2
 
0.8%
1
 
0.4%
PUA
ValueCountFrequency (%)
5
33.3%
4
26.7%
3
20.0%
2
 
13.3%
1
 
6.7%
Geometric Shapes
ValueCountFrequency (%)
4
44.4%
3
33.3%
2
22.2%
None
ValueCountFrequency (%)
‹ 4
33.3%
ƒ 4
33.3%
­ 3
25.0%
® 1
 
8.3%
Misc Symbols
ValueCountFrequency (%)
2
100.0%
Distinct328
Distinct (%)32.1%
Missing1
Missing (%)0.1%
Memory size8.1 KiB
2024-11-21T19:44:48.083878image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1629
Median length6
Mean length82.446725
Min length2

Characters and Unicode

Total characters84343
Distinct characters97
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique320 ?
Unique (%)31.3%

Sample

1st rowMicrosoft volunteers to submit all volunteer hour match requests via aka.ms/give (internal Microsoft only website). Or can be submitted at: https://microsoft.benevity.org/user/login
2nd rowMatching grants are made from the Walmart Spark Fund for Charities at PayPal Giving Fund (PPGF), a donor advised fund and disbursed monthly to the recommended organization. All matching grants are subject to approval by the Walmart.org team and PPGF.
3rd rowBenevity administers the Apple Matching Gifts Program. Visit the Employee Giving portal to request a matching donation for your volunteer time or to make a one-time or repeating monetary donation to the charitable organization (or cause) of your choice using a credit card or PayPal account. You can also request a match for a monetary or stock donation you’ve already made.When you make a donation to a US-based organization through the Employee Giving portal, your donation is processed immediately and your funds (along with the matching funds from Apple) are distributed within 60 days. When you request a matching contribution for your volunteer time or a monetary donation you made to an eligible US-based organization outside the portal, the matching funds from Apple are distributed within 60 days of your request.When you make a donation or request a matching contribution on the portal through the “International Giving” option, timelines for the donation and match distribution may be longer, because a minimum donation threshold of US$250 for any given charity must first be reached before funds are distributed. See the FAQ on the Employee Giving portal for more details. Donations and Apple matching contributions are made through a foundation fund based in the United States, and then distributed to your chosen organization. Contact your own tax or financial advisor for questions regarding the tax, financial, or other implications of making a charitable contribution.
4th rowNone
5th rowNo official info found.
ValueCountFrequency (%)
string 668
 
5.3%
the 488
 
3.9%
volunteer 472
 
3.8%
to 458
 
3.6%
a 333
 
2.6%
of 278
 
2.2%
hours 278
 
2.2%
employees 263
 
2.1%
for 247
 
2.0%
grant 235
 
1.9%
Other values (1658) 8864
70.4%
2024-11-21T19:44:48.419006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11183
13.3%
e 7740
 
9.2%
t 6273
 
7.4%
o 6086
 
7.2%
r 5797
 
6.9%
n 5181
 
6.1%
i 4648
 
5.5%
a 4483
 
5.3%
s 3844
 
4.6%
l 3088
 
3.7%
Other values (87) 26020
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 66455
78.8%
Space Separator 11187
 
13.3%
Other Punctuation 1969
 
2.3%
Uppercase Letter 1921
 
2.3%
Decimal Number 1596
 
1.9%
Control 493
 
0.6%
Currency Symbol 248
 
0.3%
Dash Punctuation 198
 
0.2%
Close Punctuation 74
 
0.1%
Open Punctuation 74
 
0.1%
Other values (5) 128
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7740
11.6%
t 6273
 
9.4%
o 6086
 
9.2%
r 5797
 
8.7%
n 5181
 
7.8%
i 4648
 
7.0%
a 4483
 
6.7%
s 3844
 
5.8%
l 3088
 
4.6%
u 2499
 
3.8%
Other values (16) 16816
25.3%
Uppercase Letter
ValueCountFrequency (%)
E 211
 
11.0%
T 191
 
9.9%
A 139
 
7.2%
C 134
 
7.0%
P 121
 
6.3%
D 117
 
6.1%
S 101
 
5.3%
F 100
 
5.2%
V 94
 
4.9%
G 88
 
4.6%
Other values (16) 625
32.5%
Other Punctuation
ValueCountFrequency (%)
. 814
41.3%
/ 423
21.5%
, 410
20.8%
: 144
 
7.3%
" 74
 
3.8%
' 45
 
2.3%
18
 
0.9%
? 9
 
0.5%
% 7
 
0.4%
& 7
 
0.4%
Other values (5) 18
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 646
40.5%
5 216
 
13.5%
1 214
 
13.4%
2 206
 
12.9%
3 91
 
5.7%
4 81
 
5.1%
6 44
 
2.8%
8 37
 
2.3%
9 31
 
1.9%
7 30
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 187
94.4%
8
 
4.0%
3
 
1.5%
Math Symbol
ValueCountFrequency (%)
= 28
45.2%
+ 24
38.7%
> 10
 
16.1%
Space Separator
ValueCountFrequency (%)
11183
> 99.9%
4
 
< 0.1%
Control
ValueCountFrequency (%)
363
73.6%
130
 
26.4%
Close Punctuation
ValueCountFrequency (%)
) 72
97.3%
} 2
 
2.7%
Open Punctuation
ValueCountFrequency (%)
( 72
97.3%
{ 2
 
2.7%
Final Punctuation
ValueCountFrequency (%)
18
75.0%
6
 
25.0%
Currency Symbol
ValueCountFrequency (%)
$ 248
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 32
100.0%
Initial Punctuation
ValueCountFrequency (%)
6
100.0%
Format
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 68376
81.1%
Common 15967
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7740
11.3%
t 6273
 
9.2%
o 6086
 
8.9%
r 5797
 
8.5%
n 5181
 
7.6%
i 4648
 
6.8%
a 4483
 
6.6%
s 3844
 
5.6%
l 3088
 
4.5%
u 2499
 
3.7%
Other values (42) 18737
27.4%
Common
ValueCountFrequency (%)
11183
70.0%
. 814
 
5.1%
0 646
 
4.0%
/ 423
 
2.6%
, 410
 
2.6%
363
 
2.3%
$ 248
 
1.6%
5 216
 
1.4%
1 214
 
1.3%
2 206
 
1.3%
Other values (35) 1244
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84276
99.9%
Punctuation 67
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11183
13.3%
e 7740
 
9.2%
t 6273
 
7.4%
o 6086
 
7.2%
r 5797
 
6.9%
n 5181
 
6.1%
i 4648
 
5.5%
a 4483
 
5.3%
s 3844
 
4.6%
l 3088
 
3.7%
Other values (79) 25953
30.8%
Punctuation
ValueCountFrequency (%)
18
26.9%
18
26.9%
8
11.9%
6
 
9.0%
6
 
9.0%
4
 
6.0%
4
 
6.0%
3
 
4.5%

DTDCompanyID
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
0
1023 
4656
 
1

Length

Max length4
Median length1
Mean length1.0029297
Min length1

Characters and Unicode

Total characters1027
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row4656
5th row0

Common Values

ValueCountFrequency (%)
0 1023
99.9%
4656 1
 
0.1%

Length

2024-11-21T19:44:48.526803image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-21T19:44:48.600968image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1023
99.9%
4656 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 1023
99.6%
6 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1027
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1023
99.6%
6 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1023
99.6%
6 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1023
99.6%
6 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%

last_updated_date
Date

Unique 

Distinct1024
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
Minimum2024-09-23 19:24:21.560000
Maximum2024-11-13 20:02:28.663333
2024-11-21T19:44:48.682001image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:48.782508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

last_updated_by_id
Real number (ℝ)

High correlation  Skewed 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3002.5625
Minimum12
Maximum3010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-11-21T19:44:48.854518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile3008
Q13009
median3009
Q33010
95-th percentile3010
Maximum3010
Range2998
Interquartile range (IQR)1

Descriptive statistics

Standard deviation112.46913
Coefficient of variation (CV)0.037457716
Kurtosis512.47486
Mean3002.5625
Median Absolute Deviation (MAD)1
Skewness-21.114051
Sum3074624
Variance12649.306
MonotonicityNot monotonic
2024-11-21T19:44:49.045298image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3010 496
48.4%
3009 472
46.1%
3007 40
 
3.9%
3008 11
 
1.1%
2009 4
 
0.4%
12 1
 
0.1%
ValueCountFrequency (%)
12 1
 
0.1%
2009 4
 
0.4%
3007 40
 
3.9%
3008 11
 
1.1%
3009 472
46.1%
3010 496
48.4%
ValueCountFrequency (%)
3010 496
48.4%
3009 472
46.1%
3008 11
 
1.1%
3007 40
 
3.9%
2009 4
 
0.4%
12 1
 
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
True
785 
False
239 
ValueCountFrequency (%)
True 785
76.7%
False 239
 
23.3%
2024-11-21T19:44:49.113055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

deleted
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
999 
True
 
25
ValueCountFrequency (%)
False 999
97.6%
True 25
 
2.4%
2024-11-21T19:44:49.168573image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

locked
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
988 
True
 
36
ValueCountFrequency (%)
False 988
96.5%
True 36
 
3.5%
2024-11-21T19:44:49.224582image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Interactions

2024-11-21T19:44:40.260640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:37.970538image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.428991image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.848417image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.369306image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.816402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:40.334603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.053060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.502210image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.928958image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.447549image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.909334image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:40.401588image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.130706image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.570071image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.996222image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.513151image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.977936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:40.476403image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.208353image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.642282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.154836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.591908image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:40.053429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:40.545617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.279635image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.708984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.225829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.654611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:40.122620image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:40.613986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.356587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:38.779410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.296618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:39.733494image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-21T19:44:40.191131image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-11-21T19:44:49.277098image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
DTDCompanyIDcompany_iddata_source_type_iddeletedhas_matching_programhas_volunteer_grant_programlast_updated_by_idlockedmatching_ratiomax_match_limit_period_typemax_match_onetime_limitmax_match_period_limitmax_volunteer_hour_limitmax_volunteer_limit_period_typemin_match_limitmin_volunteer_hour_limitqa_verified
DTDCompanyID1.0000.3430.4440.0910.0000.0001.0000.0000.0001.0000.0001.0001.0001.0000.0001.0000.000
company_id0.3431.0000.2980.3460.1820.297-0.0300.5010.1280.285-0.240-0.230-0.2480.243-0.2230.2280.295
data_source_type_id0.4440.2981.0000.5230.0000.0000.4000.1030.1870.0000.0000.2390.0000.0000.0000.0000.050
deleted0.0910.3460.5231.0000.0000.0320.4410.0460.0750.0000.0650.2560.0000.0530.1930.1490.141
has_matching_program0.0000.1820.0000.0001.0000.3920.0310.0060.9680.9410.1480.0640.0000.3370.0000.3330.220
has_volunteer_grant_program0.0000.2970.0000.0320.3921.0000.0990.0830.3780.3710.0960.1980.0000.8560.0350.8660.175
last_updated_by_id1.000-0.0300.4000.4410.0310.0991.0000.0000.0000.0000.1340.0250.1580.0640.1690.1540.119
locked0.0000.5010.1030.0460.0060.0830.0001.0000.1270.1610.0000.1940.0000.1150.0000.3620.081
matching_ratio0.0000.1280.1870.0750.9680.3780.0000.1271.0000.5270.0000.2410.0000.2200.0000.2280.228
max_match_limit_period_type1.0000.2850.0000.0000.9410.3710.0000.1610.5271.0000.0600.0000.0000.2550.0000.1580.232
max_match_onetime_limit0.000-0.2400.0000.0650.1480.0960.1340.0000.0000.0601.0000.7750.2770.0000.7420.2670.000
max_match_period_limit1.000-0.2300.2390.2560.0640.1980.0250.1940.2410.0000.7751.0000.2880.1830.7540.1930.039
max_volunteer_hour_limit1.000-0.2480.0000.0000.0000.0000.1580.0000.0000.0000.2770.2881.0000.0360.2700.0000.000
max_volunteer_limit_period_type1.0000.2430.0000.0530.3370.8560.0640.1150.2200.2550.0000.1830.0361.0000.0000.6140.162
min_match_limit0.000-0.2230.0000.1930.0000.0350.1690.0000.0000.0000.7420.7540.2700.0001.0000.0000.039
min_volunteer_hour_limit1.0000.2280.0000.1490.3330.8660.1540.3620.2280.1580.2670.1930.0000.6140.0001.0000.133
qa_verified0.0000.2950.0500.1410.2200.1750.1190.0810.2280.2320.0000.0390.0000.1620.0390.1331.000

Missing values

2024-11-21T19:44:40.735683image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-11-21T19:44:41.024896image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-11-21T19:44:41.211272image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

company_idcommon_namebusiness_namewebsite_urlcsr_information_titlecsr_contact_phonecsr_contact_emailhas_matching_programhas_volunteer_grant_programprogram_doc_locationmatching_ratiomin_match_limitmax_match_onetime_limitmax_match_period_limitmax_match_limit_period_typedata_source_type_idmin_volunteer_hour_limitmax_volunteer_hour_limitmax_volunteer_limit_period_typevolunteer_grant_rate_per_hoursubmission_form_urldeadline_instructiongift_matching_processvolunteer_grant_processDTDCompanyIDlast_updated_datelast_updated_by_idqa_verifieddeletedlocked
02MicrosoftMicrosoft Corporation, Inc.https://www.microsoft.com/en-us/corporate-responsibilityMicrosoft Give MatchN/Acauses@benevity.orgTrueTruehttps://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RW1hr0s1:10.025000.01.01.0100.00.0USD 25 per hourhttps://microsoft.benevity.org/user/loginSubmit requests for donations made in last 12 months.Microsoft employees to submit their match requests for monetary donations via aka.ms/give\n(internal Microsoft only website). Or can be submitted at: https://microsoft.benevity.org/user/loginMicrosoft volunteers to submit all volunteer hour match requests via aka.ms/give (internal \nMicrosoft only website). Or can be submitted at: https://microsoft.benevity.org/user/login02024-11-04 14:00:51.5433333007TrueFalseTrue
135WalmartWalmart Stores & Sam’s Clubhttps://walmart.org/how-we-give/program-guidelines/spark-good-associate-program-guidelinesSpark Good Associate Program(800) 530-9925support@joindeed.comTrueTruehttps://walmart.org/how-we-give/program-guidelines/spark-good-associate-program-guidelines1:125.010000.010000.01.011100.01.0$10 per hour volunteered (up to $1,000)https://wmlink/sparkgoodassociategiving [Internal]Associates may submit volunteer matching grant applications starting Feb.1 through Jan.31 at 11:59 pm (EST) for hours completed during the current fiscal year(Feb1 – Jan31), up to 100 hours per associate. Volunteer hours submitted must be within the same fiscal year the hours were completed. Organizations must confirm volunteer hours within 90 days of submission.Walmart offers a matching gift program, however, not all associate donations made through the Spark Good Associate platform are automatically matched. At least twice per fiscal year, Walmart offers matching campaigns for all active part-time and full-time US based associates, up to $10,000 in personal contributions per fiscal year. Associates will be notified when the matching opportunities are available. Associates can give through credit card, debit card or payroll to any eligible organization. All associate donations and Spark Good matching grants are made to PayPal Giving Fund (PPGF), a donor advised fund. This means that donors make recommendations to PPGF to distribute funds to the recommended organization. For credit card donations to NCES schools, these donations are made to Network for Good (NFG), a donor advised fund that will distribute to recommended school.Matching grants are made from the Walmart Spark Fund for Charities at PayPal Giving Fund (PPGF), a donor advised fund and disbursed monthly to the recommended organization. All matching grants are subject to approval by the Walmart.org team and PPGF.02024-11-07 12:09:22.7333333007TrueFalseTrue
237Apple Inc.Apple Computer, Inc.https://apple.benevity.org/user/loginApple Matching Gifts Program at globalgiving.org(800)473-7411, (408)974-7411support@benevity.comTrueTruehttps://forms.matchinggifts.com/AppleGuide.pdf1:11.010000.010000.01.0100.00.0$25 per hourhttps://apple.benevity.org/user/loginThe submission should be completed within 12 months of the matched request; monetory or volunteering.Benevity administers the Apple Matching Gifts Program. Visit the Employee Giving portal to request a matching donation for your volunteer time or to make a one-time or repeating monetary donation to the charitable organization (or cause) of your choice using a credit card or PayPal account. You can also request a match for a monetary or stock donation you’ve already made.When you make a donation to a US-based organization through the Employee Giving portal, your donation is processed immediately and your funds (along with the matching funds from Apple) are distributed within 60 days. When you request a matching contribution for your volunteer time or a monetary donation you made to an eligible US-based organization outside the portal, the matching funds from Apple are distributed within 60 days of your request.When you make a donation or request a matching contribution on the portal through the “International Giving” option, timelines for the donation and match distribution may be longer, because a minimum donation threshold of US$250 for any given charity must first be reached before funds are distributed. See the FAQ on the Employee Giving portal for more details. Donations and Apple matching contributions are made through a foundation fund based in the United States, and then distributed to your chosen organization. Contact your own tax or financial advisor for questions regarding the tax, financial, or other implications of making a charitable contribution.Benevity administers the Apple Matching Gifts Program. Visit the Employee Giving portal to request a matching donation for your volunteer time or to make a one-time or repeating monetary donation to the charitable organization (or cause) of your choice using a credit card or PayPal account. You can also request a match for a monetary or stock donation you’ve already made.When you make a donation to a US-based organization through the Employee Giving portal, your donation is processed immediately and your funds (along with the matching funds from Apple) are distributed within 60 days. When you request a matching contribution for your volunteer time or a monetary donation you made to an eligible US-based organization outside the portal, the matching funds from Apple are distributed within 60 days of your request.When you make a donation or request a matching contribution on the portal through the “International Giving” option, timelines for the donation and match distribution may be longer, because a minimum donation threshold of US$250 for any given charity must first be reached before funds are distributed. See the FAQ on the Employee Giving portal for more details. Donations and Apple matching contributions are made through a foundation fund based in the United States, and then distributed to your chosen organization. Contact your own tax or financial advisor for questions regarding the tax, financial, or other implications of making a charitable contribution.02024-11-05 11:17:10.9733333007TrueTrueTrue
338Apple Hospitality REIT, Inc.Apple Gives Matching Gift ProgramApple Gives Matching Gift Programapplegives@applereit.comTrueFalse1:11.0250.0NaNNaN2NoneNaNNaNNonehttps://files.doublethedonation.com/forms/apple-hospitality-REIT.pdfEnd of Year<p><strong>Apple Hospitality REIT matches employee donations to most nonprofits including:</strong></p>\n<ul>\n<li>Educational institutions (K-12 included)</li>\n<li>Health and human services</li>\n<li>Arts and cultural organizations</li>\n<li>Civic and community organizations</li>\n<li>Environmental organizations</li>\n<li>And most other nonprofits</li>\n</ul>\n<p><strong>Apple Hospitality REIT's Matching Gift Submission Process:<br /></strong>Employees should download a copy of the most up-to-date matching gift form from the company intranet by searching for "matching gifts". Alternatively, employees may use the form provided to us at {{forms}}.</p>None46562024-09-23 19:24:21.56000012FalseTrueFalse
439Emerson ElectricEmerson Electric Company, Inc.https://www.emerson.com/en-usEmerson Matching Gift Program+1 312-630-6000matching.gift@Emerson.comTrueFalsehttps://www.emerson.com/en-us/esg/charitable-giving1:125.010000.01.01.0100.00.0not foundhttps://emerson.yourcause.com/September 30While on the company intranet, employees should submit their matching gift requests electronically at https://emerson.yourcause.com/None02024-11-07 13:16:12.6200003007TrueFalseTrue
540AppvionAppvion, Inc.https://appvion.com/No CSR program foundNonestringFalseFalseNothing found on Appvion Corporate social responsibility initiatives.0:00.00.00.00.03string0.00.0stringhttps://extranet.appvion.com/NoneNo official information foundNo official info found.02024-11-07 13:47:14.5500003007TrueTrueTrue
641Eric Wright GroupEric Wright Charitable Trusthttps://www.ericwright.co.uk/Eric Wright Charitable Trust01772 694613ewcharitabletrust@ericwright.co.ukTrueFalsehttps://www.ericwright.co.uk/charitable-trust/1:125.02500.00.00.02string0.00.0stringstringEnd of YearEric Wright Group's Matching Gift Submission Process:\nEmployees can download a copy of the most up-to-date matching gift form directly from the company intranet by searching for "matching gifts" (recommended method).string02024-10-22 16:33:51.5000003009TrueTrueFalse
742UnitedHealth Group IncorporatedUnited Health Foundationhttps://www.unitedhealthgroup.com/United for Giving(855) 237-7875giving@uhg.comTrueTruehttps://www.unitedhealthgroup.com/uhg/people-and-culture/united-for-giving.html1:11.015000.01.01.01150.01.0$500https://unitedhealthgroup.benevity.org/user/loginDec 31United Health Group matches employee donations to a variety of nonprofits including:\n- Educational institutions (K-12 included)\n- Health and human services\n- Arts and cultural organizations\n- Civic and community organizations\n- Environmental organizations\n- And many other nonprofits\n\nWhile connected to the company intranet, you can access additional details at . To request a match for offline donations, visit http://giving.uhg.com/\nDonations made on Corporate credit cards are unacceptable and will not be processed or matched.\n\nEmployees can submit their matching gift requests electronically by going to https://unitedhealthgroup.benevity.org/user/login. It is required to include the receipt of the donation when requesting for a match.stringUnited Health Group matches employee donations to a variety of nonprofits including:\n- Educational institutions (K-12 included)\n- Health and human services\n- Arts and cultural organizations\n- Civic and community organizations\n- Environmental organizations\n- And many other nonprofits\n\nWhile connected to the company intranet, you can access additional details at . To request a match for offline donations, visit http://giving.uhg.com/\nDonations made on Corporate credit cards are unacceptable and will not be processed or matched.\n\nEmployees can submit their matching gift requests electronically by going to https://unitedhealthgroup.benevity.org/user/login. It is required to include the receipt of the donation when requesting for a match.02024-11-07 14:28:21.3633333007TrueFalseTrue
82006Exxon MobilExxonMobilhttps://corporate.exxonmobil.com/Not listed(855) 237-7875; (877) 807-0204matchinggifts@exxonmobil.com; exxonmobil@easymatch.com; exxonmobilsupport@cybergrants.comTrueTruehttps://forms.matchinggifts.com/ExxonMobil%20Matching%20Gift%20Guidelines%20-%20Effective%20October%201,%202019.pdf?form=MG0AV32:10.00.07500.00.01200.01.0$500 grant for atleast 20 hrs volunteer work.http://www.easymatch.com/exxonmobil/; http://www.cybergrants.com/exxonmobil/loginUpon completing 20 hours of eligible volunteer service, an individual or team may begin the process of submitting a request for a VIP grant online at www.cybergrants.com/exxonmobil/login. Requests must be submitted within 90 days of completing the volunteer activity. An individual volunteer or team leader must complete all required fields and submit the request to the ExxonMobil Foundation via the CyberGrants website. The individual volunteer or team leader will receive an email confirming receipt of the grant request. The charitable organization will be contacted for certification that the volunteer services were received. Volunteers may not approve their own hours. If a grant is determined to be ineligible, an email will be sent to the individual volunteer or team leader indicating the decision to decline based on program guidelines and restrictions. Individual volunteers and team leaders may check the status of a grant online at www.cybergrants.com/exxonmobil/login. To facilitate grant payment, the Foundation asks that the recipient organization provide its Automated Clearing House (ACH) account information, which includes the organization’s name, its business address, and bank account and routing numbers.Most program participants already submit their applications for matching gifts and Volunteer Involvement. Program grants online. For administrative efficiency and to help ensure compliance with program guidelines, we are transitioning to an online-only submission process. Paper forms will no longer be accepted after December 31, 2019. Applications for educational matching gifts and VIP grants should be submitted online at www.easymatch.com/exxonmobil/.\nUsing our EasyMatch website ensures that your donations and volunteer activities are properly registered and tracked for potential matching donations from ExxonMobil Foundation. The website enables you to \nview the history of your past giving and confirm the eligibility of schools or organizations for a matching gift or grant.The ExxonMobil Foundation may award an unrestricted $500 grant to an eligible, charitable nonprofit organization after an individual volunteer or team of volunteers contributes at least 20 hours of their time to the organization during a calendar year. • Eligible organizations may receive a maximum of $5,000 per calendar year of individual volunteer grants in addition to a $10,000 maximum per calendar year for team grants. • Eligible participants may apply for up to four individual grants per calendar year. These grants may be for the same or separate organizations as long as 20 hours of work is performed for each eligible grant request. Upon completing 20 hours of eligible volunteer service, an individual or team may begin the process of submitting a request for a VIP grant online at www.cybergrants.com/exxonmobil/login. Requests must be submitted within 90 days of completing the volunteer activity. An individual volunteer or team leader must complete all required fields and submit the request to the ExxonMobil Foundation via the CyberGrants website. The individual volunteer or team leader will receive an email confirming receipt of the grant request. The charitable organization will be contacted for certification that the volunteer services were received. Volunteers may not approve their own hours. If a grant is determined to be ineligible, an email will be sent to the individual volunteer or team leader indicating the decision to decline based on program guidelines and restrictions. Individual volunteers and team leaders may check the status of a grant online at www.cybergrants.com/exxonmobil/login.02024-11-04 18:46:39.6300003007TrueFalseTrue
92025cignaCigna HealthcareSMghttps://www.cigna.com/Maximize employee engagement1 (800) 997-1654communityservice@cigna.comTrueTruehttps://www.thecignagroup.com/our-impact/esg/healthy-society/community/foundation/employee-volunteerism1:110.05000.01.01.01500.01.0$500 grant for 50 Hours or morehttps://cigna.benevity.org/user/loginSubmit requests for donations made in last 18 months.When CIGNA employees participate in organized healthy activities in support of community organizations, such as runs, walks and cycling events, CIGNA will provide a $100 grant to the organization.When employees volunteer at least 50 hours or more in a year, CIGNA will provide a $500 grant to the organization.02024-11-08 12:13:09.0666663007TrueFalseTrue
company_idcommon_namebusiness_namewebsite_urlcsr_information_titlecsr_contact_phonecsr_contact_emailhas_matching_programhas_volunteer_grant_programprogram_doc_locationmatching_ratiomin_match_limitmax_match_onetime_limitmax_match_period_limitmax_match_limit_period_typedata_source_type_idmin_volunteer_hour_limitmax_volunteer_hour_limitmax_volunteer_limit_period_typevolunteer_grant_rate_per_hoursubmission_form_urldeadline_instructiongift_matching_processvolunteer_grant_processDTDCompanyIDlast_updated_datelast_updated_by_idqa_verifieddeletedlocked
10146935Procter & GambleProcter & Gamble Inchttps://us.pg.com/The P&G Fund1-866-846-8879.pg@easymatch.com or pgfund.im@pg.comTrueFalsehttps://forms.matchinggifts.com/PG2010.pdf2:125.05000.01.01.01No program0.00.0No program foundhttps://forms.matchinggifts.com/Procter&GambleMatching.pdfMatching Gifts must be requested within the current fiscal year. In order for a gift to be matched, the\ngift must be registered within the fiscal year the gift is made (7/1 – 6/30). The gift must be registered\nonline NO LATER THAN 6/30 of the current fiscal year. Requests received after the fiscal year is over\n(after 6/30) will not be honored.\nThe P&G Fund has a limited budget for company matching funds for every fiscal year (July 1-June\n30).Once this limit has been reached, gifts will no longer be matched for the remainder of the fiscal\nyear.When the limit has been met, an announcement will be posted on the matching gift web site.ONLINE:\nEmployees/retirees may request matching gifts through a quick, user–friendly, online request process at The P&G web site https://www.easymatch.com/pg.\nFollowing receipt of the request, The P&G program administrator will contact the organization to verify receipt of the employee’s gift.\nPAPER:\nEmployees/retirees may request matching gifts through a paper–form process as follows:\nEmployee/Retiree Instructions\n•\tComplete Part A of the form.\n•\tMail the completed form and any other necessary documentation to the organization.\nOrganization Instructions\n•\tThe organization completes Part B of the form, verifying that the gift was received.\n•\tThe form must be signed by an authorized officer of the organization.\n•\tThe organization mails the completed form to P&G at P.O. Box 7067, Princeton, NJ 08543– 7067.\n\nP&G Matching Gifts must be requested within the current fiscal year. In order for a gift to be matched, the donor gift must be registered within the fiscal year the gift is made. 7/1 – 6/30. The gift must be registered on–line or the hard copy of the matching gift form must be received no later than June 30 of the current fiscal year. Requests received after the fiscal year is over (6/30) will not be honored. Receipt of gift must be verified by the organization. For more information, please visit the program web site at https://www.easymatch.com/pg.\nNo Volunteer program found.02024-11-08 15:14:21.3200003007TrueFalseTrue
10156936Teladoc HealthTeladoc Healthhttps://www.teladochealth.com/contactstring1-800-Teladochelp@teladochealth.comFalseFalsehttps://www.teladochealth.com/content/dam/tdh-www/us/en/documents/report/TDH_2023_CSR_Report_DIGITAL_020724.pdf0:00.00.00.00.01string0.00.0stringhttps://assets.ctfassets.net/l3v9j0ltz3yi/43wW1qSK57EATYY9ZDaqJS/48e7e5c5a27b4861a17eb1eb700fb87a/teladoc_health_benefits_2023.pdfThey only offer matching for retirement plan not much supporting document for non-profit matchingThey only offer matching for retirement plan not much supporting document for non-profit matchingOur employees are used to exceeding expectations–not just the quantity of work they accomplish but also\nthe quality of it. So in addition to giving ourselves a target number of collective volunteering hours, we also\nintroduced a series of community-oriented service awards in 2023 to further inspire and recognize our efforts.02024-11-08 15:26:10.8700003010TrueFalseFalse
10166937TIAATIAA Inchttps://tiaa.yourcause.com/home#/homeTIAA Corporate Social Responsibility Team(866) 751-6031csr@tiaa.org or tiaa-support@yourcause.comTrueTruehttps://www.tiaa.org/public/support/charitablegiving1:125.03500.01.01.0155.01.0$50 for 5 hourshttp://tiaa.yourcause.com/AnnuallyEmployees should submit their matching gift requests electronically at http://tiaa.yourcause.com/.Once an employee volunteers with a nonprofit for 5 hours in a year, he or she can request a grant worth $50 for that organization.02024-11-08 15:30:15.4633333010TrueFalseFalse
10176938Spectrum Brands HoldingsSpectrum Brands Holdings Inchttps://spectrumbrands.com/string800-566-7899https://www.spectrumbrands.com/contact-us.htmlFalseFalsehttps://jobs.spectrum.com/compensation-and-benefits0:00.00.00.00.01string0.00.0stringhttps://spectrumbrands.com/about-us/assets/files/our-company/2023-CCR-Update.pdfnot much supporting document to prove matching for non-profit organizationnot much supporting document to prove matching for non-profit organizationstringstring02024-11-08 15:40:52.1133333010TrueFalseFalse
10186939Spirit AirlinesSpirit Airlineshttps://www.spirit.com/s/contact-usSpirit Charitable Foundation(954) 447-7920investorrelations@spirit.comFalseFalsehttps://ir.spirit.com/news-releases/news-details/2024/The-Spirit-Charitable-Foundation-Publishes-its-2023-Impact-Report/default.aspx0:00.00.00.00.01string0.00.0stringhttps://s24.q4cdn.com/507316502/files/doc_financials/2023/q4/save-2023-12-31-10k.pdfnot much supporting document to prove matching for non-profit organizationnot much supporting document to prove matching for non-profit organizationstring02024-11-08 15:41:01.2300003010TrueFalseFalse
10197806Coca ColaCoca Colahttps://www.coca-colacompany.com/The\tCoca-Cola\tMatching\tGift\tProgram1 (800) 438-2653communitykonnect@coca-cola.comTrueFalsehttps://ridgeview.ch2v.com/Content/3_31/Files//CocaCola.pdf2:125.010000.01.01.01string0.00.0stringhttps://communitykonnect.benevity.org/user/loginMatching gift requests must be completed and returned to The Coca-Cola Company by February 28th of the calendar year following the year in which the gift is made.The Coca-Cola Company matches donations up to $10,000 per year at a 2:1 ration. If you donate $100, Coke will write a check to the organization for $200. Employees and retirees should submit their matching gift requests electronically https://communitykonnect.benevity.org/user/login Alternatively, you can access Coca-Cola Company's matching gift portal by searching the company intranet for "matching gifts". If you have questions, email or call (800) 438-2653.No info found02024-11-11 18:31:05.9833333007TrueFalseTrue
10207807Live Nation EntertainmentLive Nation Entertainmenthttps://www.livenationentertainment.com/string+1 (877) 296-7874hr@livenation.comFalseFalsehttps://www.gofundme.com/c/live-nation?form=MG0AV30:00.05000.01.04.01string0.00.0stringhttps://www.gofundme.com/c/live-nation?form=MG0AV350-day limit applies to matching donations through crowd funding platform like gofundme.Any current Live Nation employee can set up a fundraiser for themselves or an immediate family member: mother, father, sister, brother, wife, husband, partner, daughter, and son. Half and step-relatives as well as in-laws are also eligible.\n\nFundraisers will provide funds directly to an individual in need and are not intended to raise money for charities.\n\nIn the story section of your GoFundMe, make sure to include the Live Nation Entertainment department you work in and your role so your colleagues know who you are.\nLive Nation will match the total funds raised online at the 50-day mark to a maximum of $5,000. If you hit $5,000 prior to day 50 or you close your fundraiser before then, your match will be honored at that time (to the $5,000 limit). You can set your own goal and manage how long it is open, so the 50-day limit applies to matching donations.No information found.\n02024-11-11 18:25:26.9100003007TrueFalseTrue
10217808MGM Resorts InternationalMGM Resorts International Inc.https://www.mgmresorts.com/en.htmlNone(866) 751-6031mgm-support@yourcause.comFalseTruehttps://www.mgmresorts.com/en/company/sis/investing-in-our-communities/employee-engagement-and-volunteering.html0:00.00.00.00.0120300.01.0$100 for 20 hours upto $1500https://www.mgmresorts.com/en/company/sis/investing-in-our-communities/employee-engagement-and-volunteering.htmlNo information foundNo information foundMGM Resorts International employees who volunteer can request a grant of $100 per 20 hours volunteered, up to $1,500. Each quarter three employees are recognized and presented the MGM Resorts Volunteer Service Award for demonstrating our company’s core values within the workplace and exemplifying integrity and teamwork in their daily lives. The honorees include one employee in Southern Nevada, one from a regional property and one from any location determined by popular vote. Recipients receive a $2,500 donation for the nonprofit of their choice.02024-11-11 18:41:30.8633333007TrueFalseTrue
10227809CenteneCentene Corporationhttps://www.centene.com/Centene ImpACTstringFoundation@centene.comTrueFalsehttps://www.centene.com/why-were-different/corporate-sustainability/healthier-communities/community-impact-giving.html?form=MG0AV31:11.025000.01.01.01string0.00.0stringhttps://centene.benevity.org/user/loginnot mentionedThe Board of Directors has approved the Board of Directors Charitable Matching Gift Program. Under the program, the Company will match a Board member’s qualifying charitable donations of up to $25,000 per calendar year. Charitable donations must be made to a qualified tax exempt U.S. organization under the Internal Revenue Code Section 501(c)(3) and within the Company’s charitable contribution guidelines. The Company also provides a group excess liability insurance policy at no cost to the directors. Employee can login to company benevity portal provided above to apply for gift matchingCentene offers a Volunteer Paid Time Off program to employees allowing them to take paid time off to volunteer for charitable or community service activities. Centene employees are eligible to take 8 hours of Volunteer PTO.02024-11-11 18:18:01.3933333010TrueFalseFalse
10237810bmx techbmx techhttps://techniquebmx.com/string951 271 6172Bill@techniquebmx.comFalseFalseno supported link0:00.00.00.00.01string0.00.0stringno supported linkstringstringstring02024-11-11 16:21:26.9600003010TrueTrueFalse